In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. "Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy." --Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four "An antidote to today's relentless AI hype--why some AI initiatives thrive while others fail and what it takes for companies and people to succeed." --Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster Better The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology--but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals. Beyond detailing the practice, this book also upskills business professionals--painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative--getting them right paves the way for machine learning's value-driven deployment. What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for--and what many mean by--AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.

The AI Playbook: Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)

Business & Money

Siegel, Eric

Management & Leadership

The MIT Press

A complete, comprehensive, clearly written guide to putting together and presenting a business plan, featuring a complete sample plan drawn from real life. The book takes the reader, step by step, through the components of a plan, with examples from the sample plan integrated throughout. Answers the question 'Why do a plan?', and provides information on how the plan will be used by bankers, venture capitalists, etc. and how to present the plan to each group. Includes references to, and examples from, plans from the service sector as well as manufacturing. Drawing on Arthur Young's extensive experience in this area, treatment is authoritative and objective without being overly technical.

The Arthur Young Business Plan Guide

Ernst Young

Carney, David

John Wiley&Sons

“Mesmerizing &amp; fascinating...” —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: <ul>
<li>What type of mortgage risk Chase Bank predicted before the recession.</li> <li>Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.</li> <li>Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.</li> <li>Five reasons why organizations predict death — including one health insurance company.</li> <li>How U.S. Bank and Obama for America calculated — and Hillary for America 2016 plans to calculate — the way to most strongly persuade each individual.</li> <li>Why the NSA wants all your data: machine learning supercomputers to fight terrorism.</li> <li>How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy!
</li> <li>How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.</li> <li>How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.</li> <li>183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. </li> </ul>
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

Economics

John Wiley&Sons, Inc.

"Mesmerizing &amp; fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 12 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics(aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: <ul>
<li>What type of mortgage risk Chase Bank predicted before the recession.</li> <li>Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.</li> <li>Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.</li> <li>Five reasons why organizations predict death — including one health insurance company.</li> <li>How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual.</li> <li>Why the NSA wants all your data: machine learning supercomputers to fight terrorism.</li> <li>How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy!
</li> <li>How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.</li> <li>How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.</li> <li>182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. </li> </ul>
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

wiley

Is your company ready for the next wave of analytics? Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you're staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind. Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today's essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it's too late. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

Strategic Analytics: The Insights You Need from Harvard Business Review (HBR Insights Series)

Review, Harvard Business

Davenport, Thomas H.

Glaeser, Edward L.

Kozyrkov, Cassie

Harvard Business Review Press

La analítica predictiva es la ciencia de predecir el comportamiento, y está presente en todos los

Analítica predictiva. Predecir el futuro utilizando Big Data (Spanish Edition)

Computers & Technology

Computer Science

Anaya Multimedia

Sketch It, See It, Solve It: A Sketch Book for Visualizing Mathematical Stories - Volume 1

Education & Teaching

King, Christine

Schools & Teaching

CKingEducation

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